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DBMS > DolphinDB vs. EXASOL vs. Google BigQuery vs. Microsoft SQL Server vs. SAP HANA

System Properties Comparison DolphinDB vs. EXASOL vs. Google BigQuery vs. Microsoft SQL Server vs. SAP HANA

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Large scale data warehouse service with append-only tablesMicrosofts flagship relational DBMSIn-memory, column based data store. Available as appliance or cloud service
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Websitewww.dolphindb.comwww.exasol.comcloud.google.com/­bigquerywww.microsoft.com/­en-us/­sql-serverwww.sap.com/­products/­hana.html
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.exasol.com/­resourcescloud.google.com/­bigquery/­docslearn.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­hana
DeveloperDolphinDB, IncExasolGoogleMicrosoftSAP
Initial release20182000201019892010
Current releasev2.00.4, January 2022SQL Server 2022, November 20222.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialcommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsLinux
Windows
hostedLinux
Windows
Appliance or cloud-service
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononoyesno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query languageyesyesyesyes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
.Net
JDBC
ODBC
WebSocket
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Java
Lua
Python
R
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functions infoin JavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaSQLScript, R
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federationyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, but depending on the SQL-Server Editionyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesyes
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users, groups and roles according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardyes

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More resources
DolphinDBEXASOLGoogle BigQueryMicrosoft SQL ServerSAP HANA
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